Evidence map›Paper›PMID 30942698›Full record

ArticleJMIR mHealth and uHealth2019

Context-Sensitive Ecological Momentary Assessment: Application of User-Centered Design for Improving User Satisfaction and Engagement During Self-Report.

Preethi Srinivas, Kunal Bodke, Susan Ofner, NiCole R Keith, Wanzhu Tu, Daniel O Clark

2 registry-linked trialsAbstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT03083964 nacompletednot on this map

APP-ME: Addressing Place and People MicroEnvironments in Weight Loss Disparities

TypeinterventionalSponsorIndiana UniversityRan2017 to 2021Enrolled350ConditionsObeseArmsUsual Care, Priming
NCT05734313 narecruitingnot on this mapstarted 2023, after this paper: background citation

Telemedicine-Delivered Unified Protocol for Cognitive Behavioral Therapy for Anxiety and Depression in Young Adults With Type 1 Diabetes

TypeinterventionalSponsorAlbert Einstein College of MedicineRan2023 to 2027Enrolled94ConditionsDiabetes, Type 1 DiabetesArmsUnified protocol for cognitive behavioral therapy (UP-CBT), Continuous Glucose Monitoring (CGM)
3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  6. Observational
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Preethi SrinivasIndiana University, Center for Aging Research, Indianapolis, IN, United States.ORCID 0000-0003-0154-7174
Kunal BodkeIndiana University, Center for Aging Research, Indianapolis, IN, United States.ORCID 0000-0002-9832-020X
Susan OfnerIndiana University, School of Medicine, Department of Biostatistics, Indianapolis, IN, United States.ORCID 0000-0001-8107-7859
NiCole R KeithIndiana University, Center for Aging Research, Indianapolis, IN, United States.ORCID 0000-0003-2331-1728
Wanzhu TuIndiana University, Center for Aging Research, Indianapolis, IN, United States.ORCID 0000-0002-4236-9135
Daniel O Clark *Indiana University, Center for Aging Research, Indianapolis, IN, United States.ORCID 0000-0001-5399-8263

Funding

APP-ME: Addressing Place & People MicroEnvironments in weight loss disparitiesR01HL128494 · NHLBI · INDIANA UNIVERSITY INDIANAPOLIS · PI CLARK, DANIEL O, KEITH, NICOLE RUTH · 2016 to 2020
$2.7M
NHLBI NIH HHS R01 HL128494
6 · The paper itself

Abstract

backgroundEcological momentary assessment (EMA) can be a useful tool for collecting real-time behavioral data in studies of health and health behavior. However, EMA administered through mobile technology can be burdensome, and it tends to suffer from suboptimal user engagement, particularly in low health-literacy populations.

objectiveThis study aimed to report a case study involving the design and evaluation of a mobile EMA tool that supports context-sensitive EMA-reporting of location and social situations accompanying eating and sedentary behavior.

methodsAn iterative, user-centered design process with obese, middle-aged women seeking care in a safety-net health system was used to identify the preferred format of self-report measures and the look, feel, and interaction of the mobile EMA tool. A single-arm feasibility field trial with 21 participants receiving 12 prompts each day for momentary self-reports over a 4-week period (336 total prompts per participant) was used to determine user satisfaction with interface quality and user engagement, operationalized as response rate. A second trial among 38 different participants randomized to receive or not to receive a feature designed to improve engagement was conducted.

resultsThe feasibility trial results showed high interface satisfaction and engagement, with an average response rate of 50% over 4 weeks. Qualitative feedback pointed to the need for auditory alerts. We settled on 3 alerts at 10-min intervals to accompany each EMA-reporting prompt. The second trial testing this feature showed a statistically significant increase in the response rate between participants randomized to receive repeat auditory alerts versus those who were not (60% vs 40%).

conclusionsThis paper reviews the design research and a set of design constraints that may be considered in the creation of mobile EMA interfaces personalized to users' preferences. Novel aspects of the study include the involvement of low health-literacy adults in design research, the capture of data on time, place, and social context of eating and sedentary behavior, and reporting prompts tailored to an individual's location and schedule.

trial registrationClinicalTrials.gov NCT03083964; https://clinicaltrials.gov/ct2/show/NCT03083964.

Indexed as

Patient ParticipationPersonal SatisfactionAdultEcological Momentary AssessmentFemaleHumansMaleMiddle AgedSelf ReportSurveys and Questionnairesecological momentary assessmenthealth statusmhealthobesity

Identifiers

PMID30942698
PMCPMC6468333

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.